Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Scalable Exploration via Ensemble++
Yingru Li, Jiawei Xu, Baoxiang Wang +1
Thompson Sampling is a principled method for balancing exploration and exploitation, but its real-world adoption faces computational challenges in large-scale or non-conjugate sett…
cs.LG2024
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
Jiawei Xu, Rui Yang, Shuang Qiu +4
Learning policy from offline datasets through offline reinforcement learning (RL) holds promise for scaling data-driven decision-making while avoiding unsafe and costly online inte…